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AI Engineer - AI Studio; Scalable AI Solutions

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Poutrix
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 90000 EUR Yearly EUR 70000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Staff AI Engineer - AI Studio (Scalable AI Solutions)

Arcadis is de wereldwijde partner die vooraan staat bij de meest impactvolle projecten van onze tijd. We helpen onze klanten duurzame keuzes te maken via digitale innovatie, expertise en toekomstgerichte vaardigheden in onder meer milieu, energie, water, gebouwen, transport en infrastructuur. We geven de natuurlijke en gebouwde omgeving samen vorm door data‑gedreven inzichten.

Role Description

We are expanding our AI Studio with cross‑functional teams dedicated to building AI‑enabled products that strengthen and accelerate the services and software Arcadis delivers to clients. As a Staff Engineer in the AI Studio, you will act as the technical AI lead responsible for turning early‑stage AI opportunities into working, pilot‑ready AI solutions with potential to scale.

Responsibilities
  • Lead technical discovery and experimentation, translating loosely defined opportunities into concrete solution approaches
  • Design and execute rapid experiments and pilots to validate feasibility and value
  • Work closely with Product Manager, Solution Architect and UX Designer to ensure solutions are technically feasible, usable, and aligned with real workflows
  • Collaborate with the Product Manager to shape problem definition, prioritization and solution direction
  • Act as the technical AI lead within a small, cross-functional experimentation team
  • Work directly with domain experts to understand workflows, constraints and opportunities
  • Take ownership of moving pilots into structured implementations and working solutions
  • Help define solution architecture, data requirements, model approach and integration patterns
  • Build initial production‑ready solutions where required to accelerate delivery
  • Introduce structure across early‑stage initiatives, including clear milestones and decision points
  • Provide clear input on technical feasibility, trade‑offs and scalability
  • Work with data engineering, platform and product teams to scale and integrate solutions
  • Ensure solutions are reliable, explainable and aligned with enterprise and Responsible AI standards
  • Support adoption by communicating clearly and bringing teams along
Qualifications & Experience
  • 10 years of experience in machine learning, applied AI or technical data roles
  • Strong Python skills and hands‑on experience building and deploying AI or ML solutions
  • Experience delivering end‑to‑end solutions from data to model to integration
  • Experience working on real‑world use cases and translating technical concepts into practical solutions
  • Strong problem‑solving skills and ability to operate in ambiguous environments
  • Experience working with business stakeholders and domain experts
  • Ability to take ownership and drive delivery independently
Nice to have
  • Experience with generative AI, including large language models and retrieval‑based solutions
  • Experience in infrastructure, engineering or asset‑heavy domains
  • Experience working in product teams or digital product environments
  • Familiarity with modern data stack
Benefits
  • 30 vacation days for full‑time employment, with options to purchase or sell additional days
  • Employees may use the NS business card free of charge
  • Additional arrangements for partner birth leave and paid parental leave
  • Hybrid working with a suitable home‑office environment and home‑working allowance
  • Good pension scheme with the largest share of the contribution paid by Arcadis
  • Opportunities for training and courses via the Arcadis Learning Experience Platform (LXP)

Arcadis is an equal‑opportunity employer committed to diversity, inclusion and belonging.

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